Journal cover Journal topic
Earth System Dynamics An interactive open-access journal of the European Geosciences Union

Journal metrics

  • IF value: 3.635 IF 3.635
  • IF 5-year<br/> value: 3.869 IF 5-year
    3.869
  • CiteScore<br/> value: 4.15 CiteScore
    4.15
  • SNIP value: 0.995 SNIP 0.995
  • SJR value: 2.742 SJR 2.742
  • IPP value: 3.679 IPP 3.679
  • h5-index value: 21 h5-index 21
Earth Syst. Dynam., 8, 529-545, 2017
https://doi.org/10.5194/esd-8-529-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
05 Jul 2017
Estimation of the high-spatial-resolution variability in extreme wind speeds for forestry applications
Ari Venäläinen et al.
Download
Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'esd-2017-10', Anonymous Referee #1, 09 Feb 2017 Printer-friendly Version 
AC1: 'Reply to Reviewer 1 comments', Ari Venäläinen, 04 May 2017 Printer-friendly Version 
 
RC2: 'Review of the manuscript Estimation of the high-resolution variability of extreme wind speeds for a better management of wind damage risks to forest-based bioeconomy by Ari K. Venäläinen et al. submitted for publication in Earth System Dynamics', Anonymous Referee #2, 21 Apr 2017 Printer-friendly Version 
AC2: 'Reply to reviewer 2', Ari Venäläinen, 04 May 2017 Printer-friendly Version 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by Editor) (10 May 2017) by Marcus Reckermann  
AR by Ari Venäläinen on behalf of the Authors (19 May 2017)  Author's response  Manuscript
ED: Publish as is (08 Jun 2017) by Marcus Reckermann  
CC BY 4.0
Publications Copernicus
Download
Short summary
The rapidly growing forest-based bioeconomy calls for increasing wood harvesting intensity, and an increase in thinning and a final felling area. This may increase wind damage risks at the upwind edges of new cleared felling areas and thinned stands. Efficient wind risk assessment is needed. We demonstrate a pragmatic and computationally feasible method for identifying at a high spatial resolution those locations having the highest forest wind damage risks.
The rapidly growing forest-based bioeconomy calls for increasing wood harvesting intensity, and...
Share